Arasteh, H, Vahidinasab, V ORCID: https://orcid.org/0000-0002-0779-8727, Sepasian, MS and Aghaei, J, 2019. Stochastic system of systems architecture for adaptive expansion of smart distribution grids. IEEE Transactions on Industrial Informatics, 15 (1), pp. 377-389. ISSN 1551-3203
Preview |
Text
1639199_Vahidinasab.pdf - Post-print Download (999kB) | Preview |
Abstract
The incorporation of the reconfiguration into the expansion planning of smart distribution networks is addressed in this paper, in which the potential of distributed energy resources and demand response (DR) are modeled. The system of systems (SoS) architecture is employed to model the strategy of a distribution company (DISCO), a private investor (PI), and a DR provider (DRP). The SoS is an efficient modeling architecture to model the behavior of independent and autonomous systems with distinct objective functions who are able to share some data and work together. The aim of the DISCO is to upgrade the system with the optimal cost and reliability, whereas the PI and DRP want to maximize their profit. The DISCO should try to persuade the PI to install DGs (Distributed generations) by offering the guaranteed purchasing prices. Furthermore, the DRP is a market player who can negotiate with the DISCO to sign a contract to sell the purchased DR capacities from the customers. The uncertainties of the DISCO problem is handled by using the chance-constraint method, but the PI and DRP use the conditional value at risk method to model their uncertainties. Finally, to solve the proposed model, the multiobjective optimization algorithm is employed.
Item Type: | Journal article |
---|---|
Publication Title: | IEEE Transactions on Industrial Informatics |
Creators: | Arasteh, H., Vahidinasab, V., Sepasian, M.S. and Aghaei, J. |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Date: | January 2019 |
Volume: | 15 |
Number: | 1 |
ISSN: | 1551-3203 |
Identifiers: | Number Type 10.1109/tii.2018.2808268 DOI 1639199 Other |
Rights: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
Divisions: | Schools > School of Science and Technology |
Record created by: | Laura Ward |
Date Added: | 09 Feb 2023 09:22 |
Last Modified: | 09 Feb 2023 09:22 |
URI: | https://irep.ntu.ac.uk/id/eprint/48204 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year